Wei Cheng

Wei Cheng is a Researcher at the Department of Biostatistics within the Yale School of Public Health, with a secondary affiliation at the Yale Cancer Center. Their research expertise includes

• Clinical Trials Methodology
• Electronic Health Records Analysis
• Network Meta-Analysis
• Bayesian Health Care Evaluation
• Comparative Effectiveness Research
• Systematic Reviews

and applications in critical care, oncology, and global health metrics.

Wei Cheng earned a PhD in Biostatistics from Brown University and completed a Postdoctoral Fellowship at the Ottawa Hospital Research Institute. Their research spans diverse clinical domains, with recent studies focusing on

• Sedation Protocols for Traumatic Brain Injury
• Prognostic Biomarkers in Leukemia
• Diagnostic Accuracy in Emergency Medicine
• Machine Learning for Neonatal Health Metrics
• Vaccine Responses in Transplant Patients

Key trends in their publications (2025-2021) reflect a focus on

• Network Meta-Analysis of Clinical Interventions
• Survival Analysis in Hematological Malignancies
• Bayesian Modeling for Health Equity
• Electronic Health Records in Real-World Studies
• Diagnostic Test Accuracy in Critical Care

using methodologies like systematic reviews, evidence synthesis, and statistical modeling.

Wei Cheng serves as a reviewer for the Protocol Review Committee and Data and Safety Monitoring Committee at Yale Cancer Center, collaborating with multidisciplinary teams including clinicians in oncology, emergency medicine, and transplant services. Their work bridges biostatistics with clinical practice across institutions like the Consortium on Myeloid Malignancies and Neoplastic Diseases (COMMAND).